Abstract: Using the veterinary pharmacology course as an example, this study investigates a creative digital intelligence educational approach in the context of the fast growth of big data artificial intelligence in education. The conventional teaching model of veterinary pharmacology encounters several obstacles, such as an excessive reliance on lectures that fails to address the individualized needs of students, restricted class duration resulting in inadequate depth of knowledge, instructional material that is outdated compared to industry advancements, a lack of comprehensive training in experimental courses. To address these challenges, this paper proposes a digital intelligence education approach for veterinary pharmacology. The strategies encompass the reorganization of knowledge modules, the construction of knowledge maps, the integration of course materials, the restructuring of interactive teaching methods, the amalgamation of online offline practical instruction, the refinement of a process-oriented assessment system. The objective is to reform the educational system by implementing measures that promote student autonomy in learning and diversify course delivery. This presents actual information for improvement in veterinary pharmacology education gives suggestions applicable to the reform of teaching in other agricultural sciences larger academic disciplines.

Key words: Veterinary pharmacology, Digital intelligence education, Knowledge map, Problem map, Evaluation system, New teaching paradigm